Information on the biology and ecology of P. cinnamomi is used to determine where it was likely to occur in the GBMHWA. The likelihood model is then tested by conducting a comprehensive soil sampling program to determine where P. cinnamomi occurred in the GBMWHA.
Using this new distribution information, new predictive models are constructed and combined with models of host plants known to be susceptible to disease that occurred in the GBMWHA to build a model of Phytophthora Dieback risk (i.e. disease risk = pathogen + host + conductive environment).
Whether infection of plants with P. cinnamomi leads to any changes in hyperspectral leaf reflectance is also tested with the aim of ultimately developing a non-destructive and potentially remote method of disease detection (e.g. via satellite imagery).
Find out more about Phytophthora Dieback including management in bushland, nurseries, gardens and during recreational activities.